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Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: A peptidomic approach to biomarker discovery for bovine mastitis
Author(s): Mansor, Rozaihan
Mullen, William
Albalat, Amaya
Zerefos, Panagiotis
Mischak, Harald
Barrett, David C
Biggs, Andrew
Eckersall, P David
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Keywords: Bovine mastitis
Capillary electrophoresis
E. coli
S. aureus
Issue Date: Jun-2013
Date Deposited: 20-Mar-2014
Citation: Mansor R, Mullen W, Albalat A, Zerefos P, Mischak H, Barrett DC, Biggs A & Eckersall PD (2013) A peptidomic approach to biomarker discovery for bovine mastitis. Journal of Proteomics, 85, pp. 89-98.
Abstract: Bovine mastitis is usually caused by either Gram positive or Gram negative bacteria, reducing the quantity and quality of milk produced. This investigation using capillary electrophoresis and mass spectroscopy, studied peptides in milk from cows with clinical mastitis in comparison to milk from healthy cows to identify biomarkers for mastitis. In addition, the milk peptidome from udders infected with Gram positive Staphylococcus aureus (S. aureus) or with Gram negative Escherichia coli (E. coli), was examined to assess differential diagnosis between the causative agent. Comparison of the peptidome between healthy (n = 10) and mastitic milk (n = 27) identified 154 peptides for a biomarker panel which in a model for diagnosis of mastitis showed 100% sensitivity and specificity. β-casein and αs1 casein provided the majority of peptides identified in this model. The peptidome comparison of milk from mastitis cases caused by S. aureus (n = 8) or E. coli (n = 11) revealed a biomarker panel of 47 peptides which discriminated between cause of infection with a sensitivity of 75% and a specificity of 100%. β-casein fragments were the most common of the peptides in this model. Peptide biomarkers of milk could be used in the diagnosis of mastitis and can discriminate between these two bacterial causes.
DOI Link: 10.1016/j.jprot.2013.04.027
Rights: This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-No Derivative Works License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
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